bioRxiv preprint doi: https://doi.org/10.1101/780478; this version posted September 4, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 Hue tuning curves in V4 change with visual context 2 Ari S. Benjamin!*, Pavan Ramkumar#, , Hugo Fernandes#, Matthew Smith',(,), Konrad P. Kording, 3 . Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 4 . Department of Physical Medicine and Rehabilitation, Northwestern University and Shirley Ryan Ability Lab, 5 Chicago, IL 6 . System> Biosciences, San Francisco, CA 7 . Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA 8 . Carnegie Mellon Neuroscience Institute, Pittsburgh, PA 9 6. Department of Ophthalmology, University of Pittsburgh, Pittsburgh, PA 10 7. *Correspondence:
[email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/780478; this version posted September 4, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 11 Summary 12 To understand activity in the higher visual cortex, researchers typically investigate how parametric changes 13 in stimuli affect neural activity. These experiments reveal neurons’ general response properties only when 14 the effect of a parameter in synthetic stimuli is representative of its effect in other visual contexts. However, 15 in higher visual cortex it is rarely verified how well tuning to parameters of simplified experimental stimuli 16 represents tuning to those parameters in complex or naturalistic stimuli.